Compressed sensing Matlab code
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Compressed sensing, compressive sampling, compressed sensing. As a new theory of sampling, it develops through signal sparse property, in conditions of far less than the Nyquist sample rate, using random sampling to obtain discrete samples of a signal and then reconstruction algorithm of nonlinear perfect reconstruction of signals. Theory of compressed sensing that is raised, it caused widespread concern in both academia and industry. In information theory, image processing, Earth Sciences, optics, imaging, pattern recognition, wireless communication, atmosphere and high attention to geological areas and was United States technology review awarded 2007 top ten scientific and technological advances. A signal through the randomly generated, according to the theory of compressive sensing, to sample its reconstruction, and final results were compared.